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Full-Text Articles in Finance and Financial Management
Thinking Finance - The Comic Book, Dimitrios V. Siskos
Thinking Finance - The Comic Book, Dimitrios V. Siskos
Dimitrios V. Siskos
Thinking financially results in the best possible outcome and establishes a secure foundation for the future as an independent man. In contrast, thinking emotionally leads to short-sighted financial decisions and usually, deep regrets. However, thinking financially is not pleasant for the people around us. This comic book presents a guy, whose dream is to become an accountant. When he finally succeeds in this, he realizes that thinking financially may be effective for his boss but it is irritating for everyone else, even for his family.
Thinking Finance - The Comic Book, Dimitrios V. Siskos
Thinking Finance - The Comic Book, Dimitrios V. Siskos
Publications
Thinking financially results in the best possible outcome and establishes a secure foundation for the future as an independent man. In contrast, thinking emotionally leads to short-sighted financial decisions and usually, deep regrets. However, thinking financially is not pleasant for the people around us. This comic book presents a guy, whose dream is to become an accountant. When he finally succeeds in this, he realizes that thinking financially may be effective for his boss but it is irritating for everyone else, even for his family.
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.